[R] step-wise and prediction

[ATHANASIA KAMARIOTIS]

I would like to know how to use the function step with for in order 
to predict.
Id est:

Let M , A, B ,C be vectors of length 15

for(i in 1:5)
{

regrM-lm(M[(1+i):(10+i)]~A[(1+i):(10+i)]+B[(1+i):(10+i)]+C[(1+i):
(10+i)])

sregrM-step(regrM)

and then I would like to compute the predicted value : M* of M, using 
the predictors selected by the function step.
For example if i=1 and step gives us the model M~A,
then in the for, I want to compute M* by the means of A[11], and 
compare this value to the real value M[11] and so on.



Merci d'avance ,
Cordialement 
Athanasia

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Re: [R] step-wise and prediction

[Spencer Graves]

Have you considered predict(regrM)?

J'espere que ces mots vous aideront.
Spencer Graves
ATHANASIA KAMARIOTIS wrote:
I would like to know how to use the function step with for in order 
to predict.
Id est:

Let M , A, B ,C be vectors of length 15

for(i in 1:5)
{
regrM-lm(M[(1+i):(10+i)]~A[(1+i):(10+i)]+B[(1+i):(10+i)]+C[(1+i):
(10+i)])
sregrM-step(regrM)

and then I would like to compute the predicted value : M* of M, using 
the predictors selected by the function step.
For example if i=1 and step gives us the model M~A,
then in the for, I want to compute M* by the means of A[11], and 
compare this value to the real value M[11] and so on.



Merci d'avance ,
Cordialement 
Athanasia

__
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-help
__
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